IAESTE Internships

Location

Switzerland

Internship type

ON-SITE

Reference number

CH-2024-000088

Students Requirements

General discipline

MECHANICAL ENGINEERING

Completed Years of Study

3

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

- Proof of enrollment and mandatory internship for all nationalities (university rule)- Interest in the design and development of medical technical

Work Details

Duration

26 - 52 Weeks

Within These Dates

01.06.2024 - 31.08.2025

Holidays

NONE

Work Environment

-

Gross pay

2300 CHF / month

Working Hours

42.5 per week / 8.5 per day

Living Lodging

Type of Accommoditation

IAESTE LC Bern

Cost of lodging

750 CHF / month

Cost of living

1600 CHF / month

Work Offered

Additional Info

All students need an official letter from their university, confirming that they are enrolled and the internship is compulsory (rule of employer).

Work description

The Artificial Intelligence in Medical Imaging (AIMI) laboratory is part of the ARTORG Center for Biomedical Engineering Research at the University of Bern. We conduct research towards novel medical methods in machine learning and medical imaging, in the domain of diagnosis and interventions. We are looking for young and extremely motivated computer scientists / engineers students interested in conducting research that covers fundamental technical as well as translational clinic aspects. We offer an stimulating work environment with international Flair (up to 180 researchers in the Center from around the world), access to clinical research, research activites with physicians and time to be spent in the OR. The AIMI group in particular is made of 20 international researchers of all levels.Interns will be integrated into research teams that span theoretical aspects of machine learning (and deep learning) that are relevant to clinical applications, to more project specific research with direct impact into clinical routine. The intern will thus have options on what they work on, depending on a first-come-first-serve basis.

Deadline

01.05.2024